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Junior Data Engineering Jobs in Raleigh, NC (NOW HIRING)

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Lead Data Scientist toleads a team of junior members to support their development ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... guiding junior team members - Upholding standards in project deliverables - Building and ...

We are seeking a Lead Data Scientist to leads a team of junior members to support their development ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

You will work closely with other data scientists and engineers to design, develop, and deploy ... Mentor junior data scientists and provide guidance on best practices. * Drive best practices across ...

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

You will work closely with other data scientists and engineers to design, develop, and deploy ... Mentor junior data scientists and provide guidance on best practices. * Drive best practices across ...

Software Engineering Senior Advisor- Hybrid

Raleigh, NC · Hybrid

$119K - $157K/yr

Guide and mentor junior data engineers and analysts, helping them grow their skills. Review code written by team members to ensure quality and adherence to best practices. Lead discussions about ...

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

You will work closely with other data scientists and engineers to design, develop, and deploy ... Mentor junior data scientists and provide guidance on best practices. * Drive best practices across ...

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

You will work closely with other data scientists and engineers to design, develop, and deploy ... Mentor junior data scientists and provide guidance on best practices. * Drive best practices across ...

Software Engineering Senior Advisor- Hybrid

Raleigh, NC · On-site

$119K - $157K/yr

... junior data engineers and analysts, helping them grow their skills. • Review code written by team members to ensure quality and adherence to best practices. • Lead discussions about technical ...

You will work closely with other data scientists and engineers to design, develop, and deploy ... Mentor junior data scientists and provide guidance on best practices. * Drive best practices across ...

Jr. software Developer

Raleigh, NC

$65K - $84K/yr

Developer/Programmer- Junior (479217) Client: : NCDA&CS Location : 2109 Blue Ridge Rd., Raleigh, NC ... access, data structures, data manipulation, databases, design, programming, testing and ...

Junior Developer Location: Raleigh, NC (Locals only) Duration: 10+ Months contract position Client ... Writing application software, data analysis, data access, data structures, data manipulation ...

This role leads cross-functional initiatives, working with Data Engineering, BI, and business ... Mentor and coach junior and mid-level BI developers. * Provide technical guidance and peer review ...

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Showing results 1-20

Junior Data Engineering information

See Raleigh, NC salary details

$32.6K

$69.8K

$106.4K

How much do junior data engineering jobs pay per year?

As of Jul 14, 2026, the average yearly pay for junior data engineering in Raleigh, NC is $69,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $77,800.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

What are the key skills and qualifications needed to thrive as a Junior Data Engineer, and why are they important?

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What does a Junior Data Engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are some typical challenges a Junior Data Engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.
What are the most commonly searched types of Data Engineering jobs in Raleigh, NC? The most popular types of Data Engineering jobs in Raleigh, NC are:
What are popular job titles related to Junior Data Engineering jobs in Raleigh, NC? For Junior Data Engineering jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Junior Data Engineering jobs? Cities near Raleigh, NC with the most Junior Data Engineering job openings:
Lead Data Scientist

Lead Data Scientist

RELX Group plc

Raleigh, NC • On-site

$104K - $174K/yr

Full-time

Re-posted 20 days ago


Job description

About Us:
LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.
About the Role:
Are you looking to develop your Data Scientist career?
Do you enjoy coaching others to achieve high standards?
We are seeking a Lead Data Scientist toleads a team of junior members to support their development and work product. You will define the scope of a project and execute that project as a team. As a Lead you will support the development and training of junior members and develop best practices as team leaders.
For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.
Responsibilities:
  • Leading the development of advanced AI and machine learning models to solve complex business problems
  • Working closely with other data scientists and engineers to design, develop, and deploy AI solutions
  • Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs
  • Analyzing large datasets to identify patterns and trends that can inform AI development
  • Communicating findings and insights to stakeholders in a clear and concise manner
  • Staying current with the latest AI and machine learning trends and technologies
  • Mentoring junior data scientists and provide guidance on AI and machine learning best practices
  • Driving best practices across our data science functions
  • Setting strategy and team direction, with a clear vision for Data Science
  • Working with product leaders to apply data science solutions.
  • Evaluating and creating new frameworks and defining methodologies and governance
  • Leading small- to medium-sized teams
  • Setting a high bar for model development

Requirements:
  • Have substantial experience in a senior data scientist role
  • Have experience in leading complex projects and customer relationships
  • Have significant experience in leading technical teams
  • Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues
  • Be a natural problem solver, able to take a lead in collaborating to resolve issues
  • Have excellent communication skills and the ability to convey information clearly to senior stakeholders

Highly Desired Skills and Experience:
  • PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field
  • Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
  • Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.
  • Experience with reinforcement learning, prompt engineering, hallucination mitigation
  • Working understanding of the business risks associated with applying LLM in a business
  • Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
  • Strong coding skills in Python or another programming language
  • Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders
  • Strong problem-solving skills and the ability to think outside the box
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
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